Shifting to an engineering role means tackling complex system design challenges—building scalable, efficient, and maintainable machine learning systems. Understanding distributed computing, scalability issues, latency requirements, and trade-offs in model complexity versus performance are key to designing robust solutions.

Shifting to an engineering role means tackling complex system design challenges—building scalable, efficient, and maintainable machine learning systems. Understanding distributed computing, scalability issues, latency requirements, and trade-offs in model complexity versus performance are key to designing robust solutions.

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